Security weaknesses in web applications deployed in cloud architectures can seriously affect its data confidentiality and integrity.The construction of the procedure utilized in the static analysis tools of source cod...Security weaknesses in web applications deployed in cloud architectures can seriously affect its data confidentiality and integrity.The construction of the procedure utilized in the static analysis tools of source code security differs and therefore each tool finds a different number of each weakness type for which it is designed.To utilize the possible synergies different static analysis tools may process,this work uses a new method to combine several source codes aiming to investigate how to increase the performance of security weakness detection while reducing the number of false positives.Specifically,five static analysis tools will be combined with the designed method to study their behavior using an updated benchmark for OWASP Top Ten Security Weaknesses(OWASP TTSW).The method selects specific metrics to rank the tools for different criticality levels of web applications considering different weights in the ratios.The findings show that simply including more tools in a combination is not synonymous with better results;it depends on the specific tools included in the combination due to their different designs and techniques.展开更多
Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a...Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications,but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms.Covering six strategic areas,which include Data Mining,Machine Learning,Engineering Design,Energy Systems,Healthcare,and Robotics,the study demonstrates the versatility and effectiveness of the PSO.Experimental results are,however,used to show the strong and weak parts of PSO,and performance results are included in tables for ease of comparison.The results stress PSO’s efficiency in providing optimal solutions but also show that there are aspects that need to be improved through combination with algorithms or tuning to the parameters of the method.The review of the advantages and limitations of PSO is intended to provide academics and practitioners with a well-rounded view of the methods of employing such a tool most effectively and to encourage optimized designs of PSO in solving theoretical and practical problems in the future.展开更多
基于评价理论,利用UAM Corpus Tool分析《中国的能源转型》的汉英双语平行语料,探究态度资源应用特征。研究发现,原文本与英译本在情感类态度资源上差异显著,而判断类和鉴赏类资源差异不显著。在子系统层面,满意性、能力性、可靠性和构...基于评价理论,利用UAM Corpus Tool分析《中国的能源转型》的汉英双语平行语料,探究态度资源应用特征。研究发现,原文本与英译本在情感类态度资源上差异显著,而判断类和鉴赏类资源差异不显著。在子系统层面,满意性、能力性、可靠性和构成四项资源差异显著,其余子项不存在显著差异。研究提炼出情感、判断和鉴赏三种话语策略,揭示话语功能、文化差异和认知适应是影响策略应用的关键因素。论文采用定量与定性结合的方法,通过对比分析政府白皮书态度资源的跨语言应用特征及相应的话语策略,为政府白皮书的英译与跨文化传播提供了新的理论视角和实践启示。展开更多
文摘Security weaknesses in web applications deployed in cloud architectures can seriously affect its data confidentiality and integrity.The construction of the procedure utilized in the static analysis tools of source code security differs and therefore each tool finds a different number of each weakness type for which it is designed.To utilize the possible synergies different static analysis tools may process,this work uses a new method to combine several source codes aiming to investigate how to increase the performance of security weakness detection while reducing the number of false positives.Specifically,five static analysis tools will be combined with the designed method to study their behavior using an updated benchmark for OWASP Top Ten Security Weaknesses(OWASP TTSW).The method selects specific metrics to rank the tools for different criticality levels of web applications considering different weights in the ratios.The findings show that simply including more tools in a combination is not synonymous with better results;it depends on the specific tools included in the combination due to their different designs and techniques.
文摘Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications,but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms.Covering six strategic areas,which include Data Mining,Machine Learning,Engineering Design,Energy Systems,Healthcare,and Robotics,the study demonstrates the versatility and effectiveness of the PSO.Experimental results are,however,used to show the strong and weak parts of PSO,and performance results are included in tables for ease of comparison.The results stress PSO’s efficiency in providing optimal solutions but also show that there are aspects that need to be improved through combination with algorithms or tuning to the parameters of the method.The review of the advantages and limitations of PSO is intended to provide academics and practitioners with a well-rounded view of the methods of employing such a tool most effectively and to encourage optimized designs of PSO in solving theoretical and practical problems in the future.
文摘基于评价理论,利用UAM Corpus Tool分析《中国的能源转型》的汉英双语平行语料,探究态度资源应用特征。研究发现,原文本与英译本在情感类态度资源上差异显著,而判断类和鉴赏类资源差异不显著。在子系统层面,满意性、能力性、可靠性和构成四项资源差异显著,其余子项不存在显著差异。研究提炼出情感、判断和鉴赏三种话语策略,揭示话语功能、文化差异和认知适应是影响策略应用的关键因素。论文采用定量与定性结合的方法,通过对比分析政府白皮书态度资源的跨语言应用特征及相应的话语策略,为政府白皮书的英译与跨文化传播提供了新的理论视角和实践启示。